Open AccessMachine Learning: Review
Author(s) -
Dipali Navnath Argade,
Shailaja Dilip Pawar,
Vijay Vitthal Thitme,
Amol Dagu Shelkar
Publication year - 2021
Publication title -
international journal of advanced research in science, communication and technology
Language(s) - English
Resource type - Journals
ISSN - 2581-9429
DOI - 10.48175/ijarsct-1719
Subject(s) - computer science , big data , artificial intelligence , machine learning , core (optical fiber) , mode (computer interface) , data science , human–computer interaction , data mining , telecommunications
Machine Learning is that the core subarea of AI . It makes computers get into a self-learning mode without explicit programming. When fed new data, these computers learn, grow, change, and develop by themselves. The concept of machine learning has been around for a short time now. However, the power to automatically and quickly apply mathematical calculations to big data is now gaining a touch of momentum. Machine learning has been utilized in several places just like the self-driving Google car, the web recommendation engines – friend recommendations on Facebook, offer suggestions from Amazon, and in cyber fraud detection. In this paper, we will learn basic terms in machine learning.